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JuliaConnectoR: A Functionally Oriented Interface for Integrating 'Julia' with R

Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R. More details can also be found in the corresponding article <doi:10.18637/jss.v101.i06>.

Version:	1.1.4
Suggests:	testthat (≥ 2.1.0), future, parallel
Published:	2024-10-08
DOI:	10.32614/CRAN.package.JuliaConnectoR
Author:	Stefan Lenz [aut, cre], Harald Binder [aut, ths], Angelo D'Ambrosio [ctb], June Choe [ctb]
Maintainer:	Stefan Lenz <stefan-m-lenz at web.de>
License:	MIT + file LICENCE
NeedsCompilation:	no
SystemRequirements:	Julia >= 1.0
Citation:	JuliaConnectoR citation info
In views:	NumericalMathematics
CRAN checks:	JuliaConnectoR results

Documentation:

Reference manual:

JuliaConnectoR.pdf

Downloads:

Package source:	JuliaConnectoR_1.1.4.tar.gz
Windows binaries:	r-devel: JuliaConnectoR_1.1.4.zip, r-release: JuliaConnectoR_1.1.4.zip, r-oldrel: JuliaConnectoR_1.1.4.zip
macOS binaries:	r-release (arm64): JuliaConnectoR_1.1.4.tgz, r-oldrel (arm64): JuliaConnectoR_1.1.4.tgz, r-release (x86_64): JuliaConnectoR_1.1.4.tgz, r-oldrel (x86_64): JuliaConnectoR_1.1.4.tgz
Old sources:	JuliaConnectoR archive

Reverse dependencies:

Reverse imports:

coconots, flimo, HypergeoMat, jlme, jlmerclusterperm, NeuralEstimators, sMTL

Linking:

Please use the canonical form https://CRAN.R-project.org/package=JuliaConnectoR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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